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Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the g...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242060/ https://www.ncbi.nlm.nih.gov/pubmed/28100172 http://dx.doi.org/10.1186/s12870-017-0972-z |
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author | Jin, Min Zhang, Xuehai Zhao, Mingchao Deng, Min Du, Yuanhao Zhou, Yang Wang, Shouchuang Tohge, Takayuki Fernie, Alisdair R. Willmitzer, Lothar Brotman, Yariv Yan, Jianbing Wen, Weiwei |
author_facet | Jin, Min Zhang, Xuehai Zhao, Mingchao Deng, Min Du, Yuanhao Zhou, Yang Wang, Shouchuang Tohge, Takayuki Fernie, Alisdair R. Willmitzer, Lothar Brotman, Yariv Yan, Jianbing Wen, Weiwei |
author_sort | Jin, Min |
collection | PubMed |
description | BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway. RESULTS: We repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization. CONCLUSION: We explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-0972-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5242060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52420602017-01-23 Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis Jin, Min Zhang, Xuehai Zhao, Mingchao Deng, Min Du, Yuanhao Zhou, Yang Wang, Shouchuang Tohge, Takayuki Fernie, Alisdair R. Willmitzer, Lothar Brotman, Yariv Yan, Jianbing Wen, Weiwei BMC Plant Biol Research Article BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway. RESULTS: We repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization. CONCLUSION: We explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-0972-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-18 /pmc/articles/PMC5242060/ /pubmed/28100172 http://dx.doi.org/10.1186/s12870-017-0972-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Jin, Min Zhang, Xuehai Zhao, Mingchao Deng, Min Du, Yuanhao Zhou, Yang Wang, Shouchuang Tohge, Takayuki Fernie, Alisdair R. Willmitzer, Lothar Brotman, Yariv Yan, Jianbing Wen, Weiwei Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title | Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title_full | Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title_fullStr | Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title_full_unstemmed | Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title_short | Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
title_sort | integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242060/ https://www.ncbi.nlm.nih.gov/pubmed/28100172 http://dx.doi.org/10.1186/s12870-017-0972-z |
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